Webull (BULL) Total Non-Current Liabilities (2023 - 2026)
Webull (BULL) posted Total Non-Current Liabilities of $20.82 million for Q2 2026, down 81.9% from $115.3 million a year earlier and down 75.9% from the prior quarter.
Webull (BULL) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Webull's Total Non-Current Liabilities came in at $87.28 million, up 454.8% from FY2024.
- In prior years, Webull's Total Non-Current Liabilities was $15.73 million in FY2024 (+2.4%) and $15.37 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last four quarters, with growth averaging 205.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $86.49 million (Q1 2026), $87.28 million (Q4 2025) and $123.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 164.75 Bn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 436.97 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 25.75 Bn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 47.90 Bn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 15.12 Bn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 5.23 Bn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 219.74 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 148.14 Bn |
| 10 | Webull | 1.95 Bn | -735.52 Mn | 85.87 Mn | 20.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.82 Mn |
| Mar 31, 2026 | 86.49 Mn |
| Dec 31, 2025 | 87.28 Mn |
| Sep 30, 2025 | 123.16 Mn |
| Jun 30, 2025 | 115.30 Mn |
| Mar 31, 2025 | 15.80 Mn |
| Dec 31, 2024 | 15.73 Mn |
| Dec 31, 2023 | 15.37 Mn |
Webull Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=BULL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BULL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=BULL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();